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-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
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numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
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theories coupled to dynamical fermion matter using two-dimensional tensor network methods. This work builds on our ongoing, long-term research program centered on discrete gauge theories—an area that has
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for foreign researchers who place their qualifications in Sweden. Duties and profile This postdoctoral project is focused on applied AI-based computer vision and precision cancer medicine research centered
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national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain
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expected to start on 2025-09-01 or according to agreement. Application deadline is June 3rd, 2025. Description of the project Half of the world's population is estimated to be infected with the gastric
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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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-equilibrium and finite size effects in magnetic materials, metal hydrides and soft matter. Samples are synthesised and studied with e.g. optical methods and transport measurements in-house. These
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Do you want to contribute to top quality medical research? Your mission With a mission to develop single cell proteomics (SCP) methods, you will be part of both proteomics core facility and a
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, integrating advanced image analysis and computational methods to enhance cancer diagnostics and treatment. Our clinical and translational research focuses on digital and computational pathology, molecular